Xem 1-20 trên 56 kết quả Community noise
  • Digital communications is a rapidly advancing applications area. Significant current activities are in the development of mobile communications equipment for personal use, in the expansion of the available bandwidth (and hence information carrying capacity) of the backbone transmission structure through developments in optical fibre, and in the ubiquitous use of networks for data communications.

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  • THE recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A basis for such a theory is contained in the important papers of Nyquist1 and Hartley2 on this subject. In the present paper we will extend the theory to include a number of new factors, in particular the effect of noise in the channel, and the savings possible due to the statistical structure of the original message and due to the nature of the final destination of the information....

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  • The second edition of this accessible book provides readers with an introductory treatment of communication theory as applied to the transmission of information-bearing signals. While it covers analog communications, the emphasis is placed on digital technology. It begins by presenting the functional blocks that constitute the transmitter and receiver of a communication system. Readers will next learn about electrical noise and then progress to multiplexing and multiple access techniques.

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  • Receiver structure Impact of AWGN and ISI on the transmitted signal. Optimum filter to maximize SNR. Matched filter receiver and Correlator receiver.Demodulation and sampling: Waveform recovery and preparing the receivedl signal for detection: Improving the signal power to the noise power (SNR) using matched filter Reducing ISI using equalizerl Sampling the recovered waveform. Detection: Estimate the transmitted symbol based on the received sample

    ppt23p doanhung_dtvtk10 24-03-2013 25 7   Download

  • Given the observation vector , perform a mapping from to an estimate of the transmitted symbol, , such that the average probability of error in the decision is minimized.Signal vector is deterministic. Elements of noise vector are i.i.d Gaussian random variables with zeromean and variance . The noise vector pdf is

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  • Evaluating the average probability of symbol error for different bandpass modulation schemes Comparing different modulation schemes based on their error performances.Transforming signals to improve communications performance by increasing the robustness against channel impairments (noise, interference, fading, ...)

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  • This intuitive yet rigourous introduction derives the core results of digital communication from first principles. Theory, rather than industry standards, motivates the engineering approaches, and key results are stated with all the required assumptions. The book emphasizes the geometric view, opening with the inner product, the matched filter for its computation, Parseval's theorem, the sampling theorem as an orthonormal expansion, the isometry between passband signals and their baseband representation, and the spectral-efficiency optimality of quadrature amplitude modulation (QAM).

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  • Community Response to Road Traffic Noise in Hue City, Vietnam. The research has carried out dose response relationship for general traffic noise annoyance in Hue City by logistic regression method. The dose-response curve in Hue City was slightly lower than that in Da Nang City and much lower than EU’s curve. There was a range of 10.9 to 18.1 dB difference between the two curves at the same percent of high annoyance.

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  • In 2005 the National Academy of Engineering (NAE) held a workshop to review the present state of technology in noise control engineering. The workshop was organized by a steering committee charged with developing a prospectus for further studies of noise-related issues in the United States and to investigate how current technologies could be used to reduce exposures to noise. The issues framed by the steering committee were subsequently considered in a series of workshops held by NAE in 2007 and 2008...

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  • Much of what we know about speech perception comes from laboratory studies with clean, canonical speech, ideal listeners and artificial tasks.

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  • Lecture "Radio Communication Circuits: Chapter 3 & 4" presents the following contents: Low Noise Amplifier (LNA), Noise in Bipolar Transistors, Frequency Conversion Circuits (Mixers). Invite you to consult.

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  • There are many DSP applications that are used in our daily lives, some of which have been introduced in previous chapters. DSP algorithms, such as random number generation, tone generation and detection, echo cancellation, channel equalization, noise reduction, speech and image coding, and many others can be found in a variety of communication systems. In this chapter, we will introduce some selected DSP applications in communications that played an important role in the realization of the systems. ...

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  • Signal processing is concerned with the modelling, detection, identification and utilisation of patterns and structures in a signal process. Applications of signal processing methods include audio hifi, digital TV and radio, cellular mobile phones, voice recognition, vision, radar, sonar, geophysical exploration, medical electronics, and in general any system that is concerned with the communication or processing of information.

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  • In the past decades a renewed interest has been seen around optical wireless communications, commonly known as free-space optics (FSO), because of the ever growing demand for high-data-rate data transmission as to a large extent current applications, such as the high-definition (HD) contents and cloud computing, require great amount of data to be transmitted, hence, demanding more transmission bandwidth. Nowadays, the last mile problem continuous to be the bottle neck in the global communication network....

    pdf208p contentnew 12-04-2012 61 16   Download

  • Reliable and accurate positioning and navigation is critical for a diverse set of emerging applications calling for advanced signal-processing techniques. This book provides an overview of some of the most recent research results in the field of signal processing for positioning and navigation, addressing many challenging open problems. The book stems from the European Network of Excellence in Wireless Communications NEWCOM++, in which I was privileged to be involved as both an external observer and a contributor.

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  • 1.1 Signals and Information 1.2 Signal Processing Methods 1.3 Applications of Digital Signal Processing 1.4 Sampling and Analog−to−Digital Conversion H E LL O ignal processing is concerned with the modelling, detection, identification and utilisation of patterns and structures in a signal process.

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  • CHANNEL EQUALIZATION AND BLIND DECONVOLUTION 15.1 15.2 15.3 15.4 15.5 15.6 15.7 Introduction Blind-Deconvolution Using Channel Input Power Spectrum Equalization Based on Linear Prediction Models Bayesian Blind Deconvolution and Equalization Blind Equalization for Digital Communication Channels Equalization Based on Higher-Order Statistics Summary lind deconvolution is the process of unravelling two unknown signals that have been convolved.

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  • The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book is divided into 24 chapters and organized in five blocks corresponding to recent advances in Kalman filtering theory, applications in medical and biological sciences, tracking and positioning systems, electrical engineering and, finally, industrial processes and communication networks.

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  • NOISE AND DISTORTION 2.1 Introduction 2.2 White Noise 2.3 Coloured Noise 2.4 Impulsive Noise 2.5 Transient Noise Pulses 2.6 2.7 2.8 2.9 2.10 Thermal Noise Shot Noise Electromagnetic Noise Channel Distortions Modelling Noise N oise can be defined as an unwanted signal that interferes with the communication or measurement of another signal. A noise itself is a signal that conveys information regarding the source of the noise. For example, the noise from a car engine conveys information regarding the state of the engine.

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  • In  the  past,  environmental  goods  and  services were  seen  as  having  limited  economic  importance.  Now, environmental issues and activities pervade every aspect of our economic life and performance  and  are  subject  to  challenging  national  and  international  targets,  strict  monitoring  regimes  and  ongoing  discussion  and  debate  in  the  media.  As  understanding  of  environmental  challenges  has  grown, so too has appreciation of the size of the market and the associated business opportunities.

    pdf79p dangsuynghi 15-03-2013 19 8   Download

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